{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "age_group\n",
      "1.0      46\n",
      "2.0     423\n",
      "3.0     236\n",
      "4.0     100\n",
      "5.0      43\n",
      "6.0      51\n",
      "7.0      53\n",
      "8.0      64\n",
      "9.0      19\n",
      "10.0     26\n",
      "11.0     19\n",
      "12.0     13\n",
      "13.0     26\n",
      "14.0     11\n",
      "15.0      6\n",
      "Name: count, dtype: int64\n"
     ]
    }
   ],
   "source": [
    "df = pd.read_csv(r\"D:\\Proga\\AML\\PPG_dataset\\dataset.csv\")\n",
    "\n",
    "# Подсчет количества встречаемости каждого age_group\n",
    "age_group_counts = df['age_group'].value_counts().sort_index()\n",
    "\n",
    "# Вывод результатов\n",
    "print(age_group_counts)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 6))\n",
    "age_group_counts.plot(kind='bar', color='skyblue')\n",
    "plt.title('Количество встречаемости age_group')\n",
    "plt.xlabel('Age Group')\n",
    "plt.ylabel('Количество')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "\n",
    "# Отображение графика\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_limited = df.groupby('age_group').head(50)\n",
    "\n",
    "# Подсчет количества встречаемости каждого age_group\n",
    "age_group_counts = df_limited['age_group'].value_counts().sort_index()\n",
    "\n",
    "# Построение графика\n",
    "plt.figure(figsize=(10, 6))\n",
    "age_group_counts.plot(kind='bar', color='skyblue')\n",
    "plt.title('Количество встречаемости age_group (ограничено до 50 записей)')\n",
    "plt.xlabel('Age Group')\n",
    "plt.ylabel('Количество')\n",
    "plt.xticks(rotation=0)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "\n",
    "# Отображение графика\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_limited.to_csv(r\"D:\\Proga\\AML\\PPG_dataset\\dataset_limited.csv\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
